ISMDA
2004
Springer
13 years 10 months ago
2004
Springer
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— From the Bayesian Ying-Yang (BYY) harmony learning theory, a harmony function has been developed for finite mixtures with a novel property that its maximization can make model...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
ICMCS
2006
IEEE
13 years 10 months ago
2006
IEEE
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
DAGM
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
OneClassMaxMinOver (OMMO) is a simple incremental algorithm for one-class support vector classification. We propose several enhancements and heuristics for improving model select...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Binary Factor Analysis (BFA) is a typical problem of Independent Component Analysis (ICA) where the signal sources are binary. Parameter learning and model selection in B...
EUROGP
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We discuss here empirical comparation between model selection methods based on Linear Genetic Programming. Two statistical methods are compared: model selection based on ...
ACML
2009
Springer
13 years 11 months ago
2009
Springer
Abstract: Our main contribution is to propose a novel model selection methodology, expectation minimization of information criterion (EMIC). EMIC makes a significant impact on the...